Skills

Scientific Writing

Draft, revise, and audit scientific manuscripts or reports with explicit evidence...

Install

npx skills add K-Dense-AI/claude-scientific-writer --skill scientific-writing -g -a claude-code -y
Category
Data and ML
Updated
5d ago
License
MIT
Context cost
Mediumabout 3,000 tokens
Runs scripts
Yes, review before use

What it does

Draft, revise, and audit scientific manuscripts or reports with explicit evidence provenance, reporting-guideline coverage, authorship accountability, confidentiality controls, and local consistency checks. Use for manuscript sections, references, declarations, tables, figures, or submission preparation when scientific accuracy and traceability matter.

Scientific Writing

Purpose

Produce clear scientific prose without inventing evidence or concealing uncertainty. Keep drafting, evidence verification, and submission approval as separate stages.

The accountable human authors control scientific decisions and final approval. AI is not an author, and generated fluency is never evidence [SW-S01, SW-S03].

Non-negotiable safety rules

Confidentiality

Do not send unpublished manuscripts, peer-review or editorial material, sensitive or restricted data, PHI or other personal data, proprietary content, or source documents to an external service without:

  1. explicit authorization from a person or body empowered to grant it; and
  2. a documented review of journal, institutional, funder, consent, ethics, contractual, legal, and data-use policy.

When authorization or policy is unclear, keep processing local and use only the minimum metadata needed. De-identification requires expert review; removing obvious names is not sufficient. See references/authorship_ai_confidentiality.md.

No fabrication

Never invent or complete:

  • citations, references, DOI, PMID, PMCID, ISBN, URLs, or quotations;
  • results, data values, denominators, sample sizes, units, effect estimates, uncertainty, statistical tests, or significance claims;
  • methods, materials, protocol details, software versions, analysis choices, or deviations;
  • registrations, approvals, consent, ethics statements, participant details, or dates;
  • authors, author order, CRediT roles, acknowledgments, or permissions;
  • funding, sponsor roles, conflicts, data or code availability, or AI disclosures.

Use an explicit missing, unverified, or not-applicable state. Do not substitute plausible boilerplate.

Evidence binding

Every factual or numeric manuscript claim must map to verified evidence IDs. A human verifier must open the source, confirm the proposition and locator, verify bibliographic metadata, and record who verified it and when.

Read the whole SKILL.md on GitHub

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